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#!/usr/bin/env python
"""lispify_ast - returns a tuple representation of the AST
Uses 2.5's _ast, not other AST implementations in CPython, since these
are not used by the compilation phase. And that's what we're
interested in.
Since this is a tuple, we can directly compare, and this is going to
be handy when comparing Jython's implementation vs CPython.
"""
import _ast
import sys
if sys.platform.startswith('java'):
def get_class_name(t):
result = t.__class__.__name__
if result == "AugLoad":
result = "Load"
elif result == "AugStore":
result = "Store"
return result
else:
get_class_name = lambda node: node.__class__.__name__
get_lines_and_cols = True
def lispify_ast(node):
return tuple(lispify_ast2(node))
def lispify_ast2(node):
result = get_class_name(node)
if get_lines_and_cols and hasattr(node, 'lineno') and hasattr(node, 'col_offset'):
result = "%s (%s,%s)" % (result, node.lineno, node.col_offset)
yield result
try:
for field in node._fields:
yield tuple(lispify_field(field, getattr(node, field)))
except:
pass
def lispify_field(field, child):
yield field
if isinstance(child, list):
children = child
else:
children = [child]
for node in children:
if isinstance(node, _ast.AST):
yield lispify_ast(node)
else:
if isinstance(node, float):
#XXX: stringify floats so they match Java's float representation better
#This may mask problems for very small numbers.
if .0001 < node < 10000:
yield "%5.5f" % node
else:
yield "%.5e" % node
else:
yield node
def tree(pyfile):
try:
node = compile(open(pyfile).read(), pyfile, "exec", _ast.PyCF_ONLY_AST)
except SyntaxError:
return "SyntaxError",
return lispify_ast(node)
if __name__ == '__main__':
import pprint
pprint.pprint(tree(sys.argv[1]))
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